Triple

T4113696
Position Surface form Disambiguated ID Type / Status
Subject Turku E90238 entity
Predicate hasLandmark P105 FINISHED
Object Old Great Square
Old Great Square is a historic central plaza in Turku, Finland, known for its preserved medieval surroundings and role as a cultural and event hub.
E416266 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Old Great Square | Statement: [Turku, hasLandmark, Old Great Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Great Square
Context triple: [Turku, hasLandmark, Old Great Square]
  • A. Queen’s Square
    Queen’s Square is a residential neighborhood within Belize City, Belize.
  • B. Holy Trinity Square
    Holy Trinity Square is a historic public square in Budapest’s Castle District, known for its Baroque Holy Trinity Column and proximity to landmarks like Matthias Church and Buda Castle.
  • C. Queen Square
    Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • D. Queen Square
    Queen Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and nearby medical and academic institutions.
  • E. Trinity Square
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Old Great Square
Triple: [Turku, hasLandmark, Old Great Square]
Generated description
Old Great Square is a historic central plaza in Turku, Finland, known for its preserved medieval surroundings and role as a cultural and event hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Old Great Square
Target entity description: Old Great Square is a historic central plaza in Turku, Finland, known for its preserved medieval surroundings and role as a cultural and event hub.
  • A. Queen’s Square
    Queen’s Square is a residential neighborhood within Belize City, Belize.
  • B. Holy Trinity Square
    Holy Trinity Square is a historic public square in Budapest’s Castle District, known for its Baroque Holy Trinity Column and proximity to landmarks like Matthias Church and Buda Castle.
  • C. Queen Square
    Queen Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • D. Queen Square
    Queen Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and nearby medical and academic institutions.
  • E. Trinity Square
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01e06ce48190b840d931e44095ea completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576a9158c8190aa0068d955fb174d completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577653214819093396a8601e52245 completed March 14, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69b57b90cb308190ba102f999795829c completed March 14, 2026, 3:15 p.m.
Created at: March 9, 2026, 3:41 p.m.